HyperVerge is a strong APAC onboarding stack - capture, face match, liveness and OCR in one journey. Teams add or switch to TamperCheck when the document in question is already in their system, not moving through that onboarding flow.
Why teams look for a HyperVerge alternative
- You need forensic depth on documents, not just pass/fail from OCR and face match.
- Pricing and access both require a demo - you can't test on your own documents first.
- Your use case extends beyond identity - bank statements, invoices, payslips and contracts need verification too.
Documents covered
- TamperCheck.ai
- 100+ document types from 190+ countries
- HyperVerge
- IDs across India, SE Asia, Africa and the US - passports, licences, voter IDs
Forensic checks per document
- TamperCheck.ai
- 200+ forensic layers on every upload
- HyperVerge
- Forgery detection on edited IDs, tampering checks, passive liveness
AI-generated documents
- TamperCheck.ai
- Dedicated synthesis pass, resolved to the field
- HyperVerge
- GenAI document identification at 95%+ accuracy (their claim)
Image forgery detection
- TamperCheck.ai
- Pixel-level: splice, resave and edge-sharpness deltas
- HyperVerge
- On identity documents
PDF & file structure
- TamperCheck.ai
- Objects, fonts, metadata and editor traces
- HyperVerge
- OCR for financial documents; not PDF forensics
Digital signature certificates
- TamperCheck.ai
- Issuer and trust chain verified
- HyperVerge
- Not publishedLimited
Field-level alteration
- TamperCheck.ai
- Yes - the altered field named and located
- HyperVerge
- Pass or fail per check
Scans, photos & physical marks
- TamperCheck.ai
- Stamps, embossing, signatures, print artefacts
- HyperVerge
- ID security features
Automated QC on findings
- TamperCheck.ai
- Every finding re-validated before you see it
- HyperVerge
- Not publishedLimited
What you get back
- TamperCheck.ai
- A verdict, the field named, in plain English
- HyperVerge
- A verification outcome inside a KYC flow
Time to verdict
- TamperCheck.ai
- About a minute, unattended
- HyperVerge
- Seconds per verification
Price per document
- TamperCheck.ai
- $0.50, published
- HyperVerge
- Not publishedLimited
Commitment
- TamperCheck.ai
- None - no seat fees, no minimum, no cap
- HyperVerge
- Contracted, by volume
How you start
- TamperCheck.ai
- Self-serve - first top-up matched free, live the same day
- HyperVerge
- Demo required
Document retention
- TamperCheck.ai
- Zero - analysed in memory, never written to disk
- HyperVerge
- Set by contract and local regulation
Training on your documents
- TamperCheck.ai
- Never
- HyperVerge
- Governed by contract, not published
| TamperCheck.ai | HyperVerge | |
|---|---|---|
| Detection depth | ||
| Documents covered | 100+ document types from 190+ countries | IDs across India, SE Asia, Africa and the US - passports, licences, voter IDs |
| Forensic checks per document | 200+ forensic layers on every upload | Forgery detection on edited IDs, tampering checks, passive liveness |
| AI-generated documents | Dedicated synthesis pass, resolved to the field | GenAI document identification at 95%+ accuracy (their claim) |
| Image forgery detection | Pixel-level: splice, resave and edge-sharpness deltas | On identity documents |
| PDF & file structure | Objects, fonts, metadata and editor traces | OCR for financial documents; not PDF forensics |
| Digital signature certificates | Issuer and trust chain verified | Not publishedLimited |
| Field-level alteration | Yes - the altered field named and located | Pass or fail per check |
| Scans, photos & physical marks | Stamps, embossing, signatures, print artefacts | ID security features |
| Automated QC on findings | Every finding re-validated before you see it | Not publishedLimited |
| What you get back | A verdict, the field named, in plain English | A verification outcome inside a KYC flow |
| Speed & cost | ||
| Time to verdict | About a minute, unattended | Seconds per verification |
| Price per document | $0.50, published | Not publishedLimited |
| Commitment | None - no seat fees, no minimum, no cap | Contracted, by volume |
| How you start | Self-serve - first top-up matched free, live the same day | Demo required |
| Data handling | ||
| Document retention | Zero - analysed in memory, never written to disk | Set by contract and local regulation |
| Training on your documents | Never | Governed by contract, not published |
What switching gets you
- Managed AI inference and transparent per-document pricing, no identity-platform commitment required.
- Plain-English findings tied to specific regions of the file, not just pass/fail.
- Zero document storage by default - ephemeral processing without a retention conversation.
- Signature certificates verified - on signed documents we check the certificate's issuer and its trust chain, not just the pixels above it.
When HyperVerge is still the better fit
- You need end-to-end KYC onboarding with face match, liveness and OCR extraction, especially in APAC markets where HyperVerge has deep coverage.
- You want a mobile-first SDK with guided capture for consumer-facing applications.
Adding forensic depth behind an existing onboarding flow
HyperVerge's onboarding journey - capture, match, extract, check - typically stays exactly as it is. The switch most teams make is adding TamperCheck for documents that arrive after that journey, where deeper forensic analysis and AI-generation detection matter more than the identity check itself.
A full replacement only fits when the actual need was document forensics from the start - a backend process receiving PDFs or images that needs a definitive tamper-or-genuine answer, which is a narrower and more specific problem than HyperVerge's onboarding stack is built to solve.
HyperVerge alternative: common questions
Can I add TamperCheck to an existing HyperVerge integration?
Yes. It's a single endpoint returning structured findings, so it slots in behind whatever onboarding you run today. Teams typically keep HyperVerge for the signup journey and route supporting documents to TamperCheck for the forensic verdict.
Does TamperCheck cover the same document formats as HyperVerge?
Yes, and more broadly - 100+ document types across 190+ countries, with no per-format training required. The analysis is template-free, so a regional payslip or bank statement is judged to the same standard as any other document.
What's the main difference in what each one returns?
HyperVerge returns a verification outcome inside a KYC flow. TamperCheck returns per-field forensic findings - which region of the document looks wrong and why - plus a dedicated AI-generation and deepfake pass on every upload.
See how TamperCheck handles your own documents
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